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Frank Graziani, Director

1-925-422-4803graziani1 [at] llnl.gov

Frank Graziani is director of the Center for High Energy Density Science and a Distinguished Member of the Technical Staff at Lawrence Livermore National Laboratory (LLNL). He received a B.S. in physics from Santa Clara University, and a Ph.D. in physics from the University of California, Los Angeles. His thesis work was on the non-perturbative aspects of quantum field theories such as quantum chromodynamics. Graziani was a postdoctoral fellow at the University of Colorado and the University of Minnesota, where he worked on cosmology and particle physics. He was a frequent visitor at NASA-Ames Research Center, where he worked on exoplanet dynamics and star formation in molecular clouds.

Frank Graziani joined LLNL in 1989 as a computational physicist. Since then, he has held various leadership positions at the Laboratory, including project lead for the legacy code, group leader, verification and validation lead for B Division, principal investigator for two Laboratory Directed Research and Development Program Strategic Initiative projects, LLNL lead for the National Boost Initiative, and associate division leader for computational physics. He has won three DOE Defense Program Awards (1999, 2002, and 2013) and the LLNL Director's S&T Award (2012). He has organized three international meetings on computational methods in particle transport, the 2012 series of workshops held at UCLA on the computational tools in high energy density physics, and the Strongly Coupled Coulomb Systems Conference in 2014. His research interests include understanding the micro-physics of hot, dense plasmas using N-body simulation tools and kinetic equations, quantum hydrodynamics, and various issues surrounding burn physics. He has authored over 50 publications in refereed journals and he is the editor for two books on computational methods for particle transport, a book on warm, dense matter physics, and a review article on computational plasma physics for the Encyclopedia of Applied and Computational Mathematics.